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Gregory Petrochenkov (Former Employee)

Science and Products

Temporal variability in nitrate – discharge relationships in large rivers as revealed by high frequency data

Little is known about temporal variability in nitrate concentration responses to changes in discharge on intraannual time scales in large rivers. To investigate this knowledge gap, we used a six‐year data set of daily surface water nitrate concentration and discharge averaged from near‐continuous monitoring at U.S. Geological Survey gaging stations on the Connecticut, Potomac, and Mississippi Rive
Authors
Margaret Zimmer, Brian A. Pellerin, Douglas A. Burns, Gregory Paul Petrochenkov
By
Water Resources Mission Area
link
USGS

HAIL (Hydrologic Applied Innovations Lab)

HAIL (Hydrologic Applied Innovations Lab)
By
New York Water Science Center
link

HAIL (Hydrologic Applied Innovations Lab)

HAIL (Hydrologic Applied Innovations Lab)
Learn More

Python GIS Flood Tool (pygft)

The Python GIS Flood Tool (pygft) was designed to process stream, catchment, and elevation datasets in order to assess the extent and depth of flooding for each stream reach. The model itself is light-weight, created with the capability to scale to larger regions or CONUS (conterminous United States) scales.

By
Water Resources Mission Area

WaveLab

The WaveLab software was designed to extract sea and barometric pressure data from selectively deployed instruments, calculate water levels, and finally compute wave statistics where applicable. There is also a utility to extract slices from the sea and barometric pressure time series for multiple purposes including getting values of interest and cropping out spurious values. The output includes
By
Water Resources Mission Area

Science and Products

Temporal variability in nitrate – discharge relationships in large rivers as revealed by high frequency data

Little is known about temporal variability in nitrate concentration responses to changes in discharge on intraannual time scales in large rivers. To investigate this knowledge gap, we used a six‐year data set of daily surface water nitrate concentration and discharge averaged from near‐continuous monitoring at U.S. Geological Survey gaging stations on the Connecticut, Potomac, and Mississippi Rive
Authors
Margaret Zimmer, Brian A. Pellerin, Douglas A. Burns, Gregory Paul Petrochenkov
By
Water Resources Mission Area
link
USGS

HAIL (Hydrologic Applied Innovations Lab)

HAIL (Hydrologic Applied Innovations Lab)
By
New York Water Science Center
link

HAIL (Hydrologic Applied Innovations Lab)

HAIL (Hydrologic Applied Innovations Lab)
Learn More

Python GIS Flood Tool (pygft)

The Python GIS Flood Tool (pygft) was designed to process stream, catchment, and elevation datasets in order to assess the extent and depth of flooding for each stream reach. The model itself is light-weight, created with the capability to scale to larger regions or CONUS (conterminous United States) scales.

By
Water Resources Mission Area

WaveLab

The WaveLab software was designed to extract sea and barometric pressure data from selectively deployed instruments, calculate water levels, and finally compute wave statistics where applicable. There is also a utility to extract slices from the sea and barometric pressure time series for multiple purposes including getting values of interest and cropping out spurious values. The output includes
By
Water Resources Mission Area
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